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Synthesizing domain science with machine learning

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To understand whether or not the design of machine learning systems can integrate domain expertise, a recent work proposes methodologies to synthesize domain science with machine learning, which shows added benefits.

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Fig. 1: Three approaches to dimensional analysis.

References

  1. Sutton, R. The bitter lesson. Incomplete Ideas (13 March 2013); http://incompleteideas.net/IncIdeas/BitterLesson.html

  2. Brown, T. et al. Adv. Neural Inf. Process. Syst. 33, 1877–1901 (2020).

    Google Scholar 

  3. Bakarji, J., Callaham, J., Brunton, S. L. & Kutz, J. N. Nat. Comput. Sci. https://doi.org/10.1038/s43588-022-00355-5 (2022).

  4. del Rosario, Z., Lee, M. & Iaccarino, G. SIAM-ASA J. Uncertain. 7, 232–259 (2019).

    Article  Google Scholar 

  5. Shen, W. & Lin, D. K. J. Technometrics 60, 79–89 (2018).

    Article  MathSciNet  Google Scholar 

  6. Fukami, K. & Taira, K. In 74th Annual Meeting of the APS Division of Fluid Dynamics abstr. A31.00004 (APS, 2021).

  7. Zhang, J. & Ghanem, B. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 1828–1837 (IEEE, 2018).

  8. del Rosario, M. & Ding, Z. IEEE Trans. Wirel. Commun. https://doi.org/10.1109/TWC.2022.3202750 (2022).

    Article  Google Scholar 

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Correspondence to Zachary del Rosario.

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del Rosario, Z., del Rosario, M. Synthesizing domain science with machine learning. Nat Comput Sci 2, 779–780 (2022). https://doi.org/10.1038/s43588-022-00358-2

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